Optimize Miro API costs through credit monitoring, request reduction, and plan selection based on the credit-based rate limiting model.
Implement Miro REST API v2 data handling with PII detection in board content, data export via API, retention policies, and GDPR/CCPA compliance patterns.
Configure Miro Enterprise features: organization management, SCIM provisioning, board-level access control, audit logs, and SSO integration via REST API v2.
Install and configure Miro REST API v2 authentication with OAuth 2.0. Use when setting up a new Miro app, configuring OAuth tokens, or initializing the @mirohq/miro-api Node.js…
Execute major Miro migrations — migrate boards between teams/orgs, export board content to external systems, import data into Miro, and re-platform from competing whiteboard tools…
Configure Miro REST API v2 across development, staging, and production with separate OAuth apps, isolated test boards, and secret management.
Set up observability for Miro REST API v2 integrations with Prometheus metrics, OpenTelemetry traces, structured logging, and Grafana dashboards.
Migrate Miro integrations from REST API v1 to v2 and upgrade @mirohq/miro-api SDK. Use when upgrading SDK versions, migrating v1 widget endpoints to v2 item endpoints, or handling…
Implement Miro REST API v2 webhooks with board subscriptions, event handling, and signature verification for real-time board change notifications.
Design or run evaluation, tracing, callback, telemetry, and regression-observability workflows for Mission Control agents.
Use Mission Control to turn TensorBoard logs and training curves into explicit validation evidence.
Optimize Mistral AI costs through model selection, token management, and usage monitoring. Use when analyzing Mistral billing, reducing API costs, or implementing usage monitoring…
Implement Mistral AI PII handling, data retention, and GDPR/CCPA compliance patterns. Use when handling sensitive data, implementing data redaction, configuring retention…
Configure Mistral AI enterprise access control and workspace management. Use when implementing role-based API key scoping, managing team access, or setting up organization-level…
Install and configure the Mistral AI SDK with authentication. Use when setting up a new Mistral integration, configuring API keys, or initializing Mistral AI in your project.
Set up comprehensive observability for Mistral AI with metrics, traces, and alerts. Use when implementing monitoring for Mistral AI operations, setting up dashboards, or…
Analyze, plan, and execute Mistral AI SDK upgrades with breaking change detection. Use when upgrading Mistral SDK versions, detecting deprecations, or migrating to new API…
Implement Mistral AI async patterns, batch API, agents, and event-driven workflows. Use when building async workflows, using the Agents API, batch inference, or handling…
Use when you have metabolomics data (targeted LC/MS or untargeted GC/MS) with left-censored missing values below the limit of quantification (LOQ) or limit of detection (LOD), and…
Instrument mobile apps for crash-free rate, ANR and hang detection, and release health you can gate rollouts on.
Analyze data coverage, create monitors for warehouse tables and AI agents. Covers coverage gaps, use-case analysis, data monitor creation, and agent observability.
Automatically applies when implementing monitoring and alerting. Ensures proper metric instrumentation, alerts, SLO/SLI definition, dashboards, and observability patterns.
Set up monitoring, logging, and observability for applications and infrastructure. Use when implementing health checks, metrics collection, log aggregation, or alerting systems.
Observability patterns - metrics, logging, tracing, alerting, and infrastructure monitoring. Use for: monitoring, observability, prometheus, grafana, metrics, alerting, structured…
Analyze data coverage, create monitors for warehouse tables and AI agents. Covers coverage gaps, use-case analysis, data monitor creation, and agent observability.
Diagnoses pipeline performance issues -- slow jobs, expensive queries, latency trends -- using Monte Carlo's cross-platform observability.
Surfaces Monte Carlo data observability context (table health, alerts, lineage, blast radius) before SQL/dbt edits.
Install and configure Clerk SDK/CLI authentication. Use when setting up a new Clerk integration, configuring API keys, or initializing Clerk in your project.
Integrate Granola meeting notes into your local development workflow. Use when setting up development workflows, accessing notes programmatically, or syncing meeting outcomes with…
Upgrade Guidewire InsuranceSuite versions and migrate between environments. Use when planning version upgrades, handling breaking changes, or migrating from self-managed to Cloud.
Implement Replit reliability patterns including circuit breakers, idempotency, and graceful degradation.
Use when optimizing travel spend with Navan's policy engine, analyzing booking patterns for savings, and configuring the Navan Rewards program.
Configure Navan admin roles, travel policies, approval workflows, and department-level access controls.
Make your first Navan API call to retrieve trip and user data. Use when verifying a new Navan integration works end-to-end after auth setup.
Use when planning or executing a migration from SAP Concur or legacy TMC to Navan — data migration, user provisioning, policy recreation, and cutover planning.
Set up dev/staging/prod environment separation for Navan integrations without a sandbox API. Use when configuring multiple environments, building CI test pipelines, or setting up…
Use when setting up monitoring, logging, and alerting for Navan API integrations in production environments.
Use when handling Navan API changes in production — defensive coding patterns, schema validation, deprecation monitoring, and gradual rollout strategies for unversioned APIs.
Set up webhook listeners for real-time Navan event notifications. Use when you need to receive booking, expense, or travel disruption events from Navan.
ALWAYS USE when investigating incidents, checking system health, exploring services, validating hypotheses, or querying ANY observability backend (Prometheus/Mimir, Loki, Tempo,…
대상 프로젝트 런타임 관측 — Spring Actuator, Micrometer, logback JSON, Slack webhook. 로깅/모니터링/알림 설계 시 사용.
Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting.
Use when performing a deep observability audit or remediating missing structured logging, metrics, traces, or alerting rules
Produces an architectural specification document mapping Gateway SSE events and OTEL spans to named dashboard widgets, a data flow diagram, and an MCP App config — ready to hand…
Making multi-agent workflows visible and debuggable for designers and developers.
Designs comprehensive observability strategies including SLI/SLO frameworks, alerting optimization, and dashboard generation.
Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows.
Use when building platform or application observability, defining SLOs, preparing telemetry backend artifacts, enforcing OpenTelemetry semantic conventions, creating alert…
Observability guidelines for distributed systems using OpenTelemetry, tracing, metrics, and structured logging
Adds production observability to a service — structured logging, RED/USE metrics, OpenTelemetry distributed tracing, plus Prometheus/Grafana dashboards and actionable SLO-based…
Configure verbosity levels, live log streaming, JSONL file export, model I/O logging, and audit trails for monitoring agent execution.
Find unlogged Error branches in recently modified Gleam code and add wisp.log_* calls with string.inspect(err) context. Audits log levels, message format, and sensitive data leaks.
Production visibility through logs, metrics, traces, and alerting — the three pillars of observability
You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions.
You are an SLO (Service Level Objective) expert specializing in implementing reliability standards and error budget-based engineering practices.
Observability: structured logging, metrics (RED/USE/four golden signals), distributed tracing (OpenTelemetry), correlation IDs, log aggregation, SLO/SLI.
Shannon-specific log reader for session, hook, and run-state diagnostics. ALWAYS use when the user says "session trace", "shannon doctor", "session log audit", "hooks fired log",…
Configure OpenTelemetry tracing, metrics, and structured logging for DAPR applications. Integrates with Azure Monitor, Jaeger, Prometheus, and other observability backends.
Observability and SRE expert. Use when setting up monitoring, logging, tracing, defining SLOs, or managing incidents.
Prometheus metrics and observability standards. Use when writing, generating, or reviewing code with metrics or instrumentation.